How do we make decisions?
How do we learn from their outcomes?
My lab seeks mechanistic answers to such questions at the behavioural, computational, and neural systems levels. Our research is multi-disciplinary, lying at the intersection between Psychology, Neuroscience, Artificial Intelligence, and Behavioral Economics.
We investigate how the human brain forms and tunes predictive models of the environment, and how it leverages these models to make decisions and perform inference. The prediction problems we study span reward prediction (e.g. money, foods, etc.), social prediction (e.g. other people’s intentions, traits, etc.), and “state” prediction (e.g. perceptually signaled contexts, inferred latent contexts).